Dhruv Kumar

According to our database, Dhruv Kumar authored at least 91 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Modular Architecture for Typologically Controlled Lexicon Generation.

Sankalp Tattwadarshi Swain, Dhruv Kumar

CoRR, May, 2026

Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative.

Sibayan Mitra, Dhruv Kumar

CoRR, May, 2026

Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering.

Manan Gupta, Dhruv Kumar

CoRR, April, 2026

Measuring Representation Robustness in Large Language Models for Geometry.

Vedant Jawandhia, Yash Sinha, Murari Mandal, Ankan Pal, Dhruv Kumar

CoRR, April, 2026

Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations.

Manan Gupta, Dhruv Kumar

CoRR, April, 2026

Context Over Content: Exposing Evaluation Faking in Automated Judges.

Manan Gupta, Inderjeet Nair, Lu Wang, Dhruv Kumar

CoRR, April, 2026

IndicDB - Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages.

Aviral Dawar, Roshan Karanth, Vikram Goyal, Dhruv Kumar

CoRR, April, 2026

BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection.

Atharva Gupta, Dhruv Kumar, Yash Sinha

CoRR, April, 2026

Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions.

Parth Patil, Dhruv Kumar, Yash Sinha, Murari Mandal

CoRR, April, 2026

LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo.

Ojas Jain, Dhruv Kumar

CoRR, April, 2026

LLM-as-a-Judge for Time Series Explanations.

Preetham Sivalingam, Murari Mandal, Saurabh Deshpande, Dhruv Kumar

CoRR, April, 2026

Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows.

Aditya Sharan, Sriram Hebbale, Dhruv Kumar

CoRR, March, 2026

Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India.

Rakshita Goel, S. Pranav Kumar, Anmol Agrawal, Divyan Poddar, Pratik Narang, Dhruv Kumar

CoRR, February, 2026

Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization.

Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Yash Sinha, Pratik Narang, Dhruv Kumar, Jagat Sesh Challa

CoRR, February, 2026

The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation.

Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, Vinay Chamola, Dhruv Kumar

CoRR, January, 2026

PhysicsSolutionAgent: Towards Multimodal Explanations for Numerical Physics Problem Solving.

Aditya Thole, Anmol Agrawal, Arnav Ramamoorthy, Dhruv Kumar

CoRR, January, 2026

Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations.

Kartikey Singh Bhandari, Manav Ganesh, Yashwant Viswanathan, Archit Agrawal, Dhruv Kumar, Pratik Narang

CoRR, January, 2026

A Multi-Agent System for Generating Actionable Business Advice.

Kartikey Singh Bhandari, Tanish Jain, Archit Agrawal, Dhruv Kumar, Praveen Kumar, Pratik Narang

CoRR, January, 2026

Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines.

Devesh Saraogi, Rohit Singhee, Dhruv Kumar

CoRR, January, 2026

TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations.

Aviral Gupta, Armaan Sethi, Dhruv Kumar

CoRR, January, 2026

The Language of Bargaining: Linguistic Effects in LLM Negotiations.

Stuti Sinha, Himanshu Kumar, Aryan Raju Mandapati, Rakshit Sakhuja, Dhruv Kumar

CoRR, January, 2026

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning.

Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa

Trans. Mach. Learn. Res., 2026

Roamify: An Interactive Browser Extension for Real-Time LLM-Based Travel Itinerary Generation.

Vikranth Udandarao, Muthuraj Vairamuthu, Noel Abraham Tiju, Harsh Mistry, Armaan Singh, Dhruv Kumar

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion.

Pankaj, Dhruv Kumar, Vinayak Abrol, Vikram Goyal

Proceedings of the ACM Web Conference 2026, 2026

SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control.

Adithya Chittem, Aishna Shrivastava, Sai Tarun Pendela, Jagat Sesh Challa, Dhruv Kumar

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews.

Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, Praveen Kumar

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection.

Chinmay Pushkar, Sanchit Kabra, Dhruv Kumar, Jagat Sesh Challa

CoRR, December, 2025

CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics.

Vaibhav Devraj, Dhruv Kumar, Jagat Sesh Challa

CoRR, December, 2025

Toward Intelligent Scene Augmentation for Context-Aware Object Placement and Sponsor-Logo Integration.

Unnati Saraswat, Tarun Rao, Namah Gupta, Shweta Swami, Shikhar Sharma, Prateek Narang, Dhruv Kumar

CoRR, December, 2025

Understanding Virality: A Rubric based Vision-Language Model Framework for Short-Form Edutainment Evaluation.

Arnav Gupta, Gurekas Singh Sahney, Hardik Rathi, Abhishek Chandwani, Ishaan Gupta, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline.

Akshaj Prashanth Rao, Advait Singh, Saumya Kumaar Saksena, Dhruv Kumar

CoRR, December, 2025

Investigating Spatial Attention Bias in Vision-Language Models.

Aryan Chaudhary, Sanchit Goyal, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation.

Daksh Jain, Aarya Jain, Ashutosh Desai, Avyakt Verma, Ishan Bhanuka, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

Lights, Camera, Consistency: A Multistage Pipeline for Character-Stable AI Video Stories.

Chayan Jain, Rishant Sharma, Archit Garg, Ishan Bhanuka, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs.

Shubham Mishra, Samyek Jain, Gorang Mehrishi, Shiv Tiwari, Harsh Sharma, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

Navigating the Reality Gap: Privacy-Preserving On-Device Continual Adaptation of ASR for Clinical Telephony.

Darshil Chauhan, Adityasinh Solanki, Vansh Patel, Kanav Kapoor, Ritvik Jain, Aditya Bansal, Pratik Narang, Dhruv Kumar

CoRR, December, 2025

Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies.

Charan Prakash Rathore, Saumi Ray, Dhruv Kumar

CoRR, December, 2025

neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings.

Ojas Pungalia, Rashi Upadhyay, Abhishek Mishra, Abhiram H, Tejasvi Alladi, Sujan Yenuganti, Dhruv Kumar

CoRR, December, 2025

When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection.

Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Jahnvi Singh, Vinay Chamola, Yash Sinha, Murari Mandal, Dhruv Kumar

CoRR, December, 2025

Confidence is Not Competence.

Debdeep Sanyal, Manya Pandey, Dhruv Kumar, Saurabh Deshpande, Murari Mandal

CoRR, October, 2025

Policy Optimization Prefers The Path of Least Resistance.

Debdeep Sanyal, Aakash Sen Sharma, Dhruv Kumar, Saurabh Deshpande, Murari Mandal

CoRR, October, 2025

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Learning.

Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa

CoRR, September, 2025

Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agents.

Sankalp Tattwadarshi Swain, Anshika Krishnatray, Dhruv Kumar, Jagat Sesh Challa

CoRR, September, 2025

time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models.

Debdeep Sanyal, Aaryan Nagpal, Dhruv Kumar, Murari Mandal, Saurabh Deshpande

CoRR, September, 2025

HAEPO: History-Aggregated Exploratory Policy Optimization.

Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa

CoRR, August, 2025

Disentangling Polysemantic Neurons with a Null-Calibrated Polysemanticity Index and Causal Patch Interventions.

Manan Gupta, Dhruv Kumar

CoRR, August, 2025

Automated Type Annotation in Python Using Large Language Models.

Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote

CoRR, August, 2025

Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT Solvers.

Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote

CoRR, August, 2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style.

Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal

CoRR, May, 2025

The Impact of Large Language Models on K-12 Education in Rural India: A Thematic Analysis of Student Volunteer's Perspectives.

Harshil Goyal, Garima Garg, Prisha Mordia, Veena Ramachandran, Dhruv Kumar, Jagat Sesh Challa

CoRR, May, 2025

Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning.

Vikranth Udandarao, Noel Abraham Tiju, Muthuraj Vairamuthu, Harsh Mistry, Dhruv Kumar

CoRR, April, 2025

Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics.

Aditya Pathak, Rachit Gandhi, Vaibhav Uttam, Devansh, Yashwanth Nakka, Aaryan Raj Jindal, Pratyush Ghosh, Arnav Ramamoorthy, Shreyash Verma, Aditya Mittal, Aashna Ased, Chirag Khatri, Jagat Sesh Challa, Dhruv Kumar

CoRR, March, 2025

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback.

Raj Gupta, Harshit Goyal, Dhruv Kumar, Apurv Mehra, Sanchit Sharma, Kashish Mittal, Jagat Sesh Challa

CoRR, March, 2025

DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models.

Utkarsh Tiwari, Aryan Seth, Adi Mukherjee, Kaavya Mer, Kavish, Dhruv Kumar

CoRR, February, 2025

Transformers for Vision: A Survey on Innovative Methods for Computer Vision.

Balamurugan Palanisamy, Vikas Hassija, Arpita Chatterjee, Arpita Mandal, Debanshi Chakraborty, Amit Pandey, G. Sai Sesha Chalapathi, Dhruv Kumar

IEEE Access, 2025

Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics.

Aditya Pathak, Rachit Gandhi, Vaibhav Uttam, Arnav Ramamoorthy, Pratyush Ghosh, Aaryan Raj Jindal, Shreyash Verma, Aditya Mittal, Aashna Ased, Chirag Khatri, Yashwanth Nakka, Devansh, Jagat Sesh Challa, Dhruv Kumar

Proceedings of the 2025 ACM Conference on International Computing Education Research V.1, 2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles.

Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ReviewEval: An Evaluation Framework for AI-Generated Reviews.

Madhav Krishan Garg, Tejash Prasad, Tanmay Singhal, Chhavi Kirtani, Murari Mandal, Dhruv Kumar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis.

Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote

Proceedings of the 2nd IEEE/ACM International Conference on AI-powered Software, 2025

Analyzing LLM Usage in an Advanced Computing Class in India.

Utkarsh Arora, Anupam Garg, Aryan Gupta, Samyak Jain, Ronit Mehta, Rupin Oberoi, Prachi, Aryaman Raina, Manav Saini, Sachin Sharma, Jaskaran Singh, Sarthak Tyagi, Dhruv Kumar

Proceedings of the 27th Australasian Computing Education Conference, 2025

2024

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT.

Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote

CoRR, 2024

TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class.

Anishka, Diksha Sethi, Nipun Gupta, Shikhar Sharma, Srishti Jain, Ujjwal Singhal, Dhruv Kumar

CoRR, 2024

Analyzing LLM Usage in an Advanced Computing Class in India.

Chaitanya Arora, Utkarsh Venaik, Pavit Singh, Sahil Goyal, Jatin Tyagi, Shyama Goel, Ujjwal Singhal, Dhruv Kumar

CoRR, 2024

"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India.

Vibhor Agarwal, Nakul Thureja, Madhav Krishan Garg, Sahiti Dharmavaram, Meghna, Dhruv Kumar

CoRR, 2024

AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare.

Aryaman Raina, Prateek Mishra, Harshit Goyal, Dhruv Kumar

CoRR, 2024

Comuniqa : Exploring Large Language Models for improving speaking skills.

Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal

CoRR, 2024

OpineBot: Class Feedback Reimagined Using a Conversational LLM.

Henansh Tanwar, Kunal Shrivastva, Rahul Singh, Dhruv Kumar

CoRR, 2024

ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions.

Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Harshal D. Akolekar, Dhruv Kumar

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools.

Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote

LLM4CODE@ICSE, 2024

Comuniqa: Exploring Large Language Models For Improving English Speaking Skills.

Shikhar Sharma, Manas Mhasakar, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal

Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2024

From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users.

Harshal Dev, Raj Gupta, Dhruv Kumar

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

A Comparative Analysis of Large Language Models for Code Documentation Generation.

Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, Dhruv Kumar

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

"\"It's not like Jarvis✱.

Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?

Anishka, Atharva Mehta, Nipun Gupta, Dhruv Kumar, Pankaj Jalote

CoRR, 2023

"It's not like Jarvis, but it's pretty close!" - Examining ChatGPT's Usage among Undergraduate Students in Computer Science.

Ishika Joshi, Ritvik Budhiraja, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar

CoRR, 2023

"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education.

Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna, Lovenya Jain, Mihika Deshpande, Arjun Srivastava, Srinivas Rallapalli, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar

CoRR, 2023

ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?

Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Dhruv Kumar, Harshal D. Akolekar

CoRR, 2023

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations.

Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning.

Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Towards WAN-aware join sampling over geo-distributed data.

Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

2021

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics.

Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Accelerated Training via Device Similarity in Federated Learning.

Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra

Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

2020

Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining.

Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal

Int. J. Data Sci. Anal., 2020

Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning.

Yuanli Wang, Dhruv Kumar, Abhishek Chandra

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019

A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.

Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019

DeCaf: Iterative Collaborative Processing over the Edge.

Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra

Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

2018

An efficient method for batch updates in OPTICS cluster ordering.

Dhruv Kumar, Poonam Goyal, Navneet Goyal

Int. J. Data Anal. Tech. Strateg., 2018

2017

Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms.

Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

2016

A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality.

Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2015

Parallelizing OPTICS for Commodity Clusters.

Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa

Proceedings of the 2015 International Conference on Distributed Computing and Networking, 2015

2014

Parallelizing OPTICS for multicore systems.

Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 7th ACM India Computing Conference, 2014